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Observations on the Importance of Cloud-based Analytics

All Things Distributed

AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling. Many of these innovations will have a significant analytics component or may even be completely driven by it. Cloud analytics are everywhere.

Analytics 135
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321
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The Ultimate Guide to Open Source Databases

Percona

For example, an analytics application would work best with unstructured image files stored in a non-relational graph database. MariaDB uses storage engines that give it a speed boost and enable users to implement distributed storage and distributed transactions. 1 among non-relational systems ( DB-Engines, March 2023 ).

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Generative AI in the Enterprise

O'Reilly

AI isn’t yet at the point where it can write as well as an experienced human, but if your company needs catalog descriptions for hundreds of items, speed may be more important than brilliant prose. Several respondents also mentioned working with video: analyzing video data streams, video analytics, and generating or editing videos.